This line of research is dedicated to the study, development and application of techniques for the mathematical description of physical systems and automatic control systems. Research activities focus on both theoretical and experimental aspects involving the modeling and simulation of real systems, as well as the design of control systems that meet the functional needs and practical criteria of the systems under study.The main research topics associated with the line are listed below:
- Control of Dynamic Systems: linear, nonlinear, robust, adaptive, fuzzy, and intelligent control, among others. Process automation;
- Control sensors and actuators: Inertial Navigation;
- Modeling and Identification: analysis and mathematical modeling of phenomena (physical, chemical, biological, etc.). Linear and nonlinear model structures. Deterministic and stochastic methods for mathematical modeling. Validation of models;
- Optimization: Linear and non-linear optimization techniques. Optimal control. Optimization in system identification;
- Simulation and Data Analysis: methodologies for simulating phenomena. Analysis of experimental data. Error and uncertainty analysis and propagation. Analog and digital signal processing. Linear and nonlinear filtering.
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